- Robot type
- Autonomous Vehicle
- Location
- Foster CityCaliforniaUSA
- Job type
- Software
- Posted
- Oct 30, 2026
- Salary
- $208,000–$287,000 a year
Staff Systems Engineer, Simulation Systems Verification and Validation Lead
Job description
We are seeking a Simulation Systems Verification and Validation (Sim VnV) Lead to own that work across the full autonomy stack. You will define how to validate simulation at the sensor, perception, planning, and full-pipeline levels, lead the cross-functional program that executes the sim VnV program, and turn the results into clear evidence about when and where simulated miles can support safety clearance decisions. You will work closely with simulation, perception, planning, hardware, safety, data science, and systems engineering teams. This is a highly visible, technical leadership role on the critical path to safely scaling our service.
The ideal candidate demonstrates systems thinking,…
Job responsibilities
- Own the end-to-end simulation V&V strategy across different levels of integration ranging from sensors-only through the full system behavior for the purpose of constructing a safety case for fully autonomous driving on…
- Define the data sets, metrics, and comparison methods.
- Lead a recurring cross-functional sim validation program with simulation, perception, planning, systems engineering, safety, and data infrastructure teams.
- Partner with statisticians and data scientists on estimators that combine simulated and real-world results into safety performance measures.
- Write the methodology documents and validation reports, and present results, risks, and recommendations to engineering and executive leadership.
- Mentor engineers across teams in V&V practice and systems thinking.
Job requirements
- M.S. or higher in Systems, Aerospace, Mechanical, Electrical, or Robotics Engineering, Computer Science, Physics, Mathematics, or a related field.
- 8+ years of experience in verification and validation of safety-critical systems that contain software or autonomy (for example autonomous vehicles, ADAS, aerospace guidance and flight software, or robotics).
- A record of leading technical programs across several teams, from an ambiguous problem statement to a delivered result.
- Working-level experience validating a simulation or model against real-world data so that its results could support a decision, preferably for a closed-loop system with software or a learned controller in the loop.
- Strong systems thinking: you can break a system into integration levels, define the interfaces and the evidence needed at each level, and connect component-level results to system-level claims.
- Experience deriving or implementing estimators that fuse simulated and real data, for example control variates, prediction-powered inference, Bayesian hierarchical models or power priors, importance sampling, or…
- Experience with sensor simulation (camera, lidar, radar), neural rendering or generative scene synthesis, or perception evaluation metrics.
- Experience evaluating motion planning or behavior in closed-loop simulation at scale.
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